Cited by 23AI in cancer detectionAdvanced Biosensing Techniques and ApplicationsGene expression and cancer classification

Simple, Inexpensive Method for Automating Tissue Microarray Production Provides Enhanced Microarray Reproducibility

Matysiak, Brian E., Brodzeller, Tracy, Buck, Sarah, French, Anthony, Counts, Cristin, Boorsma, Brian, Datta, Milton W., Kajdacsy-Balla, Andre A.·2003·Applied Immunohistochemistry & Molecular Morphology

Abstract

Tissue microarrays are a novel technology with the potential to impact cancer research by reducing the time, materials, and costs related to specimen-based marker validation. The process uses small cores of specimen tissue for molecular studies, maximizing the quantity of specimens that can be analyzed on a single slide and the results that can be obtained from a single antibody study. However, this process can be tedious and requires a significant time commitment for array production, particularly for the hand-produced tissue array blocks. In addition, this process has significant repetitive motions, risking repetitive stress injury for technical personnel. For these reasons, we have sought a simple, inexpensive system for automation of the existing microarray technologies. Using this system, slides containing as many as 400 specimens can be constructed in a simple and reproducible manner. Automation of the tissue microarray apparatus is accomplished by attaching two stepper motors to the micrometers of the apparatus that control array movement, and it has the advantages of standardizing the spacing between each specimen and eliminating repetitive motions by the user. A computer program is used to run the motors, allowing the user to input commands based on the desired moving distance. After assimilation of the motors, motor control boards, and corresponding program, the final product was tested and demonstrated to provide consistent, reproducible operation. Tissue microarrays were generated with specimen tissue diameters of 1.5 mm, 1.0 mm, and 0.6 mm with core densities upwards of 300 samples per slide.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/00129039-200309000-00011

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Routine availability of digitized pathology images, coupled with well-known issues associated with inter-observer variability in how pathologists interpret studies, has led to increased interest in computer-assisted decision support systems.

    “Routine availability of digitized pathology images, coupled with well-known issues associated with inter-observer variability in how pathologists interpret studies [159], has led to increased interest in computer-assisted decision support systems.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cited by

Sorted by citations

Authors
Matysiak, B. E., Brodzeller, T., Buck, S., French, A., Counts, C., Boorsma, B., Datta, M. W., & Kajdacsy-Balla, A. A.
Affiliations
Marquette University (US)
Corresponding author
  • Matysiak, Brian E.
  • Brodzeller, Tracy
  • Datta, Milton W.
Venue
Applied Immunohistochemistry & Molecular Morphology
Published
2003-09
Volume
11
Issue
3
Pages
269-273
ISSN
  • 1533-4058 (ISSN-L)
  • 1541-2016
OpenAlex
W2084298700
Cited by
23
References
0
Citations by year
2025: 1 · 2024: 1 · 2020: 2 · 2018: 1 · 2017: 1 · 2014: 1 · 2013: 1 · 2012: 1
FWCI
2.13
Type
journal article
Language
en
Open access
closed
Locations
  • Applied immunohistochemistry & molecular morphology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Keywords
tissue microarray, stepper motor, low-cost laboratory equipment, core density
MeSH terms
Automation, Pathology, Reproducibility of Results

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review